Heat shock protein 90 (Hsp90) is an abundant molecular chaperone, involved in the folding and activation of 60% of the human kinome. The oncogenic tyrosine kinase v-Src is one of the most stringent client proteins of Hsp90, whereas its almost identical homolog c-Src is only weakly affected by the chaperone. Here, we perform atomistic molecular simulations and in vitro kinase assays to explore the mechanistic differences in the activation of v-Src and c-Src. While activation in c-Src is strictly controlled by ATP-binding and phosphorylation, we find that activating conformational transitions are spontaneously sampled in Hsp90-dependent Src mutants. Phosphorylation results in an enrichment of the active conformation and in an increased affinity for Hsp90. Thus, the conformational landscape of the mutated kinase is reshaped by a broken “control switch”, resulting in perturbations of long-range electrostatics, higher activity and increased Hsp90-dependence.
The cellular Src kinase, c-Src, is a tyrosine kinase that plays a central role in cell survival and proliferation, and its increased activity has been linked to cancer development1,2,3. The viral Src kinase, v-Src, originally isolated from the Rous sarcoma virus, is a close homolog of c-Src, sharing 98% sequence identity with c-Src4,5,6. However, in contrast to the latter, the constitutive activity of v-Src cannot be down-regulated, thus leading to the formation of sarcomas7. v-Src is one of the most stringent client proteins of heat shock protein 90 (Hsp90)8,9,10, an ATP-dependent molecular chaperone involved in the folding and maturation of a wide variety of client proteins in eukaryotes11,12. Hsp90 functions together with specialized co-chaperones, such as the kinase-specific co-chaperone Cdc37, and helps the client proteins to mature and become fully active13,14,15. Remarkably, c-Src kinase is only weakly affected by Hsp9016, whereas the Hsp90-Cdc37 complex strongly binds v-Src, protects it from degradation and increases its activity8,10,17.
c-Src consists of a unique domain, followed by the regulatory SH3 and SH2 domains and a flexible linker, connecting the SH2 domain with the highly conserved kinase domain (KD)2 (Fig. 1). The catalytically active KD comprises N- and C-terminal lobes with the active site located at their interface18. Motion between the two lobes enables the kinase to adopt an open and a closed conformation that is linked to kinase activation. The KD also contains a C-terminal stretch, with residue Y527 that is phosphorylated by the C-terminal Src kinase (CSK). The phosphorylation of Y527 stabilizes the inactive state of c-Src19,20,21, in which the regulatory SH2 domain binds to the phosphorylated Y52722,23. In addition, c-Src contains another central phosphorylation site that is important for kinase activity24, the conserved Y416 residue, which is located within the activation loop (A-loop).
After dephosphorylation of Y527 has taken place, the c-Src activation process is further driven by ATP-binding and phosphorylation of Y416, which trigger large conformational changes in c-Src (Boczek et al., unpublished data). Structural studies23,25 suggest that the inactive state, with the A-loop in a closed folded conformation, blocks substrates from entering the active site, whereas in the active state, the A-loop unfolds, which further opens up the active site for substrate binding. Based on long molecular dynamics simulations it was recently suggested that the inward movement of the C-helix facilitates the formation of a catalytically active state26. The X-ray structures of the active and inactive states of c-Src23,25, further revealed that E310 changes its ion pair from R409 to K295 during this activation process.
ATP-binding near the C-helix triggers the activation of c-Src by large conformational changes27. In the inactive state of c-Src, the unphosphorylated Y416 is buried inside the protein, whereas the activation process triggers the exposure of this part. ATP hydrolysis leads to transphosphorylation of Y416 by another c-Src kinase28 that is believed to lock c-Src in a catalytically active state29,30.
Previous studies have indicated that some amino acid substitutions elevate c-Src activity in vivo and lead to increased transformation potential6,31,32. Recently, we showed that three single point mutations (R95W, D117N, and R318Q; “3M”) and a deletion of the C-terminal stretch (“ΔC”), significantly increase the activity of c-Src, transforming the kinase into a strong client protein of Hsp90 that mimics the oncogenic v-Src17. It was suggested that the perturbation of central interactions near the active site causes the kinase to flicker between activation states, but the detailed underlying molecular principles still remained enigmatic.
Here, we study the intrinsic protein dynamics of the wild type c-Src, and the oncogenic mutant variants v-Src and c-Src3MΔC in order to elucidate the molecular activation mechanism and the key conformational changes, responsible for causing the strong Hsp90-dependence of v-Src. We show by combined molecular simulations and in vitro experiments that the wild type and the v-Src-mimicking mutants greatly differ in their activation barriers, Hsp90-dependence, and conformational flexibility.
Essential ion pair dynamics in the active site of c-Src
To probe the effects of ATP-binding and Y416 phosphorylation on Src kinase dynamics, we performed microsecond molecular dynamics simulations of c-Src and c-Src3MΔC initiated from the active state. Figure 2 shows the dynamics of the central E310-K295 ion pair and the A-loop, both of which undergo large conformational changes in the activation process, consistent with previous MD simulations26. Our MD data suggest that ATP-binding destabilizes the E310-K295 ion pair, which increases the interaction between E310 and R409 of the A-loop. This in turn weakens the interaction between R409 and Y416, and leads to a more solvent-exposed A-loop, rendering Y416 more accessible for intermolecular autophosphorylation by another Src kinase. Upon phosphorylation of Y416 (pY416), we find that E310-K295 is stabilized in comparison to the ATP-bound state, while the A-loop samples partially unfolded states, as indicated by large <dA-loop> values (Fig. 2b).
In the simulations of c-Src3MΔC, we observe significant dynamical change in the central active site region in comparison to wild type c-Src (Fig. 2d). We find that the E310-K295 ion pair is unstable in c-Src3MΔC in comparison to c-Src, and in contrast to the wild type protein, this destabilization is not ATP-dependent. In addition, c-Src3MΔC shows a more extended A-loop relative to c-Src, most likely due to the flickering of the E310-K295 ion pair. Similarly to c-Src, the phosphorylation of Y416 in c-Src3MΔC stabilizes the closed conformation of E310-K295. However, the apo-form of c-Src3MΔC has a higher population of solvent-exposed Y416, which may lead to an increased propensity for autophosphorylation followed by an increase of kinase activity. These results suggest that the introduced 3MΔC mutations disrupt a molecular “control switch” in c-Src that couples the conformational state of the kinase with ATP-binding and Y416-phosphorylation.
We find that the electrostatic interaction energy of ATP (Supplementary Table S1) with the kinase domain increases in the c-Src3MΔC mutant relative to the wild type, an effect that is likely to result from the destabilization of the E310-K295 ion pair but also by conformational changes in the DFG-motif (D404, F405, G406) and the R-spine region (L325, M314, F405, H384) (Fig. 1), both of which have been suggested to undergo a structural change in the active conformation33. For both the wild type and mutant c-Src, we find that ATP-binding and phosphorylation of Y416 destabilizes the R-spine region (Supplementary Fig. S1), in contrast to previous simulations of the isolated KD30. A possible reason for this difference might arise from the interaction between the regulatory domains and the KD. To probe the ATP-binding affinities of c-Src and c-Src3MΔC experimentally, we measured the KM of the phosphorylation reaction for c-Src, c-Src3MΔC and v-Src in vitro. Consistent with our MD data, we find that c-Src3MΔC and v-Src have a three-fold lower KM than c-Src with 4.0 μM over 12.8 μM (Fig. 3)17.
To study how the large electrostatic perturbations in c-Src3MΔC might shift pKa values of active site residues, we performed Poisson-Boltzmann (PB) continuum electrostatics calculations on the structures along the MD trajectories. We find that most residues are in their standard protonation states, shown in Supplementary Table S2. However, we obtain a pKa of 6.1 for D404 in c-Src3MΔC, compared to a pKa of −3.8 in c-Src, indicating that this residue might reside in a protonated state in the mutant protein, while the protonation probability of the residue in the wild type protein is very low. Such low calculated pKa values can arise in PB calculations when the protonation probability for the residue is very low34. In contrast, for the wild type protein, the PB calculations suggest that D404 remains deprotonated. It was recently found that D404, which is a part of the DFG-motif, is involved in ATP-binding and its protonation state may also affect the dynamics of the active site residues35. We find that protonation of D404 stabilizes the E310-K295 ion pair in 0.5 μs MD simulations (Supplementary Fig. S2), which may result from the weaker interaction between D404 and K295, and thus also contribute to the higher measured ATP-affinity of c-Src3MΔC.
To explore whether the 3MΔC mutations also have an impact on the inactive state, we performed additional simulations based on the crystal structure in the inactive conformation (PDB ID: 2SRC)23. Similar to the results obtained for the E310-K295 ion pair in the active state, we find that the E310-R409 ion pair breaks more easily in c-Src3MΔC in comparison to c-Src, suggesting that the dynamics of the inactive state is also strongly affected by the mutations (see Supplementary Information for extended discussion of the inactive state dynamics).
Ligand-induced global conformational changes
In addition to the local structural changes in the active site, we also observe global conformational rearrangements of c-Src and c-Src3MΔC upon ATP-binding and Y416-phosphorylation (Fig. 4). In the ligand-free and the ATP-bound state of c-Src, the SH3 domain interacts with the KD through an ion-paired network. Phosphorylation of Y416 leads to large-scale conformational changes that involve dissociation of the SH3 domain from the central active site. These changes may result from the perturbed interactions between active site residues and R95/E97 of the SH3 domain (Supplementary Fig. S3).
In c-Src3MΔC, we also observe strong alterations of the interaction between the SH3 domain and the KD in the different states (Fig. 4). Compared to c-Src, the wider open conformation of the active state in c-Src3MΔC is likely to result from the R95W and D117N mutations, which destabilize the interaction between the two domains. Moreover, these mutations perturb the interaction between the linker region and the KD, which increases the flexibility of the regulatory domains, resulting in a larger root-mean-square fluctuations (RMSF) of c-Src3MΔC in comparison to the wild type kinase (Supplementary Fig. S4).
When D404 is protonated in c-Src3MΔC, the SH2 domain folds around the KD, with similar structural rearrangements also observed in the ATP-bound state, and when Y416 is phosphorylated in c-Src3MΔC (Fig. 4). These structural changes are stabilized by interactions between arginines in the A-loop and E166 of the SH2 domain and involve an extended ion-paired network (inset of Fig. 4) that stabilizes a solvent exposed A-loop. In contrast, when the SH3 domain and the KD strongly interact, as in the wild type c-Src, this limits the conformational flexibility of the SH2 domain, and prevents the interaction between the SH2 domain and the KD. The electrostatic interactions in the active site thus influence the interaction between the KD and the regulatory domains and lead to the large global conformational changes in c-Src3MΔC (see Supplementary Information for extended analysis on the electrostatic network).
We find that the global dynamics of the ligand-unbound form of c-Src and c-Src3MΔC, extracted from principal component analysis (PCA) of the MD trajectories, show interesting differences (Supplementary Fig. S5). The PCA projects out essential large-scale protein motions by a linear transformation of a covariance matrix of the atomic coordinates. We find that the wild type c-Src dynamics comprise a dominating principal component that involves an open-to-close motion, enclosing the KD around the regulatory domains. In contrast, in c-Src3MΔC the dynamics involve many contributing modes that comprise transverse motion of the regulatory domains that are coupled to a twist motion of the KD. These differences seem to arise from the perturbed electrostatic interactions between the SH3 domain and the KD in c-Src3MΔC.
Dynamical similarities between v-Src and c-Src3MΔC
In order to compare the dynamics of c-Src3MΔC with v-Src, we performed 0.5 μs MD simulations of a homology model of v-Src, constructed based on the X-ray structure of c-Src (PDB ID: 1Y57). We obtain a similar global structure of the v-Src model as for the ATP and phosphorylated Y416 variant of c-Src3MΔC, in which the regulatory domains fold around the kinase domain. Consistent with the results obtained for c-Src3MΔC, the local ion-paired network around the active site of v-Src is strongly perturbed due to the introduced mutations, which results in the opening of the E310-K295 ion pair and the unfolding of the A-loop (Fig. 5), suggesting that c-Src3MΔC both structurally and dynamically closely resembles v-Src. Interestingly, the E310-K295 ion pair is dynamically even more flexible in v-Src in comparison to c-Src3MΔC, resulting in a stronger interaction between E310 and R409, which is also observed in the inactive state of c-Src. This effect arises from the increased interaction among E305 of the C-helix, K427 of the KD, K249 of the linker region, and E166 of the SH2 domain, which strongly disturbs the C-helix and results in a large displacement of the E310-K295 and E310-R409 ion pairs. These ion pairs undergo a significant conformational transition into an inactive-like state in both v-Src and c-Src3MΔC, increasing the E310-K295 distance and decreasing the E310-R409 distance.
Free energy landscape of the Src activation process
To probe the dynamics of c-Src on time-scales longer than those accessible by microsecond MD simulations, we performed metadynamics free-energy simulations that fill the potential energy surface by time-dependent potentials. This prevents the system from revisiting already sampled regions of the phase-space, and help the system to overcome large kinetic barriers. The obtained free energy profiles or the potential of mean force (PMF) can be related to the rates by the transition state theory. For the wild type system, we find two minima with E310-K295 in closed (dE310-K295 ≈ 3 Å) and open (dE310-K295 ≈ 13 Å) conformations (Fig. 6e), that correlate with partial unfolding of the A-loop (<dA-loop>≈9 Å), consistent with long MD simulations by Shukla et al.26. The active and inactive states are nearly isoenergetic, and have a 4 kcal mol−1 free energy barrier along the E310-K295 reaction coordinate. Moreover, the partially unfolded A-loop around <dA-loop>≈9 Å is thermodynamically favored by about 4 kcal mol−1 over the folded A-loop with <dA-loop>≈4 Å (Fig. 6f).
In c-Src3MΔC, the PMF surface (Fig. 6c) suggests that opening of the E310-K295 ion pair and the extent of the A-loop are decoupled, indicating that the activation mechanism differs in the mutant from the wild type kinase. We find that opening of the E310-K295 ion pair has a smooth free energy surface (Fig. 6e), and can sample both open and closed conformations irrespective of the conformation of the A-loop. Moreover, the 1-D projection of the PMF suggests that the half-open state of the E310-K295 ion pair with dE310-K295 ≈ 8 Å is thermodynamically favored, suggesting that the mutant kinase might always reside in a meta-stable active state. In c-Src3MΔC, the unfolded A-loop, is somewhat less stable in comparison to the wild type system, with an additional minimum at a half-folded conformational state.
To investigate how phosphorylation of Y416 stabilizes the active state, we performed additional 0.5 μs metadynamics simulations to probe its free energy landscape. As shown in Fig. 6b and d, the PMF is considerably altered in the phosphorylated state, trapping both the wild type and the mutant Src kinase in the active conformation. This is consistent with recent observations by Meng and Roux30 for the c-Src kinase domain. Interestingly, the A-loop in c-Src3MΔC/pY416 is partially locked in an open state with <dA-loop>≈8 Å, while c-Src/pY416 samples more folded A-loop conformations with <dA-loop>≈3 Å.
Taken together, our results suggest that the mutations in the Hsp90-dependent kinase globally reshape the conformational landscape of the kinase leading to rather shallow energy barriers between the different states.
Less compact structure leads to increased Hsp90-dependence
In order to probe how conformational changes may affect the Hsp90-dependence of the kinase, we measured the ability of phosphorylated c-Src and c-Src3MΔC and their corresponding non-phosphorylatable Y416F-variants to become activated by Hsp90 and its co-chaperone Cdc37 by our previously developed activation assay using in vitro components17 (Fig. 7). We find that c-Src is not activated by the chaperones, regardless of its phosphorylation status. In contrast, c-Src3MΔC shows a high activation potential and its activity is increased about 3-fold upon addition of the chaperones. For the phosphorylated c-Src3MΔC, we obtain an apparent activation constant KA for the Hsp90-Cdc37 complex of 0.23 μM. In contrast, for the phenylalanine mutation, in which phosphorylation is not possible, the chaperone concentration for the half-maximal activation of this c-Src3MΔC variant is seven-fold increased (KA of 1.64 μM). Interestingly, at higher chaperone concentrations, the two curves converge, which further indicates that although the affinity for the chaperone complex may be lowered for the Y416F mutant, the general activation process remains unaltered.
It has been suggested that Hsp90 recognizes non-native segments in the client proteins17,36. We therefore analyzed the proportion of structured regions (Table 1) that have been suggested critical for Hsp90-Cdc37 recognition17. Although biomolecular force field have a tendency to over-stabilize the amount of folded protein regions37,38, we nevertheless, observe significant differences between the wild type and c-Src3MΔC/v-Src that may contribute to Hsp90 recognition. For the apo-form of c-Src3MΔC, the unstructured protein regions particularly in the β1-β5 strands and the P-loop regions, increase in comparison to the wild type kinase, while the ATP-binding and phosphorylation increase the proportion of unstructured regions for both the wild type and the mutant protein. Moreover, calculations of solvent accessible surface areas (SASA) suggest that the c-Src3MΔC in its phosphorylated state has a more extended structure than the respective wild type protein, for each of the regions that may contribute to the Hsp90-Cdc37 recognition (Supplementary Table S3). Interestingly, we also find that the reduced stability of the E310-K295 ion pair correlates with an enhanced kinase activity and Hsp90-dependence of different c-Src variants (Supplementary Table S4).
We previously showed that c-Src3MΔC is more active than c-Src and in contrast to c-Src, this activity could be increased even further by the combined action of Hsp90 and Cdc3717. Here, we aimed to explain these differences by using a combined approach of classical molecular simulations and in vitro kinase activity assays.
Our simulations show that in c-Src the unfolding of the A-loop is strictly coupled to ATP-binding due to electrostatic switching within the active site. Consistent with the results of others39, our findings suggest that unfolding of the A-loop is likely to increase the propensity of Y416-phosphorylation, which in turn stabilizes the active conformation of the kinase. This suggests that the transition to the active state in c-Src resembles a “control switch”-like mechanism with a strong activating role of ATP-binding and Y416-phosphorylation.
In contrast, c-Src3MΔC can enter its active state in a process that is decoupled from these activating stimuli. Our principal component analysis of c-Src3MΔC indicates increased transitions between inactive and active states and a rather shallow energy landscape in contrast to the open-close motion observed for c-Src. Electrostatic perturbations within the active site suggest an increase in ATP affinity, which we could confirm by KM determination in vitro. The 3MΔC mutations destabilize the central E310-K295 ion pair, the C-helix and the A-loop by disturbing an electrostatic network located at the active site, and by further breaking the interaction between the active site and the regulatory domains. These effects strongly resemble the dynamics observed in our v-Src model, and these results correlate with the previously reported decreased folding cooperativity of c-Src3MΔC in comparison to c-Src17. Moreover, c-Src3MΔC showed a more extended A-loop in comparison to c-Src. This in turn may increase the propensity for phosphorylation and Hsp90-interaction. Thus, these transitions render the mutant Src kinase “conformationally uncontrolled” and more likely to sample states that may interact with Hsp90 and Cdc37.
In general, the conformational landscape of the kinase is reshaped by the presence of the oncogenic mutations, which led to a less compact structure of regions that may specifically interact with Hsp90-Cdc37, especially the β1-β5-strands and the P-loop, supporting previous studies that suggested a correlation between Hsp90 binding and the openness of the kinase fold17,40,41. Moreover, in the pY416-activated state of c-Src3MΔC, we found an even more extended kinase structure that may increase the interaction with Hsp90 and Cdc37. We could confirm this notion in vitro and found that phosphorylated c-Src3MΔC has a seven-fold decreased KA for Hsp90 as compared to unphosphorylated c-Src3MΔC, suggesting that Hsp90 interacts more strongly with the structurally more extended, phosphorylated client kinase. This result supports the previously suggested hypothesis that Hsp90 may stabilize otherwise meta-stable activated states of the client kinase17. A random-sampling of a conformation with higher Hsp90-affinity is also possible, but less likely. Interestingly, we found that at high chaperone concentrations, both phosphorylated and unphosphorylated c-Src3MΔC reach the same level of activation. This indicates that in the unphosphorylated form, the active, Hsp90-interacting conformation of the kinase might be less populated and therefore, more chaperone molecules are needed to trap it.
This study reveals large differences between the activation dynamics in wild type Src kinase and its corresponding oncogenic variant. Our results strengthen the understandings on the relationship between oncogenic kinases and the Hsp90 chaperone machinery, which may form a basis for developing conformation-specific drugs, solely acting on the oncogenic kinase activation pathway.
Models and Methods
Molecular dynamics simulations were performed based on atomistic molecular models of c-Src and c-Src3MΔC, constructed based on the X-ray structure of c-Src in the active state obtained from the Protein Data Bank (PDB ID: 1Y57)25. For the c-Src3MΔC, the C-terminal tail (ΔC) of c-Src was deleted together with mutations of residues R95W, D117N, and R318Q. For both the wild type and the mutant c-Src, three simulation states were explored, with and without bound ATP, and with Y416 modeled in a phosphorylated state. To explore the protein dynamics in the inactive state, models of c-Src and c-Src3MΔC were also constructed based on the X-ray structure of c-Src in the inactive state (PDB ID: 2SRC)23. We also performed 500 ns MD simulations of c-Src3MΔC with D404 in a protonated state as well as v-Src, constructed from PDB ID: 1Y57 using MODELLER42. Each model was solvated in a water box with ca. 34 Na+/30 Cl− ions, mimicking a 100 mM NaCl concentration. The molecular systems comprised ca. 100 000 atoms, and were simulated in an NPT ensemble at T = 310 K and p = 101.3 kPa for 1 μs, with an integration time-step of 2 fs using the CHARMM27 force field43, and treating long-range electrostatics with the Particle Mesh Ewald approach. All simulations were performed using NAMD 2.944 and Visual Molecular Dynamics45 was used for analysis. All simulation models are listed in Supplementary Table S6.
Metadynamics simulations were carried out to explore the free energy landscape of the c-Src activation process, based on 0.5 μs simulations performed in NAMD 2.9. The potential of mean force (PMF) for c-Src and c-Src3MΔC were calculated starting from the active state, the phosphorylated state and the inactive state respectively, using the distance of E310-K295 (in the active state) or E310-R409 (in the inactive state), and the extension of A-loop as reaction coordinates46,47. The A-loop reaction coordinate was defined using the average distance of backbone oxygen and nitrogen distances between D413 and T417; N414 and A418; and, E415 and R419, as suggested by Meng and Roux30.
Poisson-Boltzmann continuum electrostatics calculations were carried out to estimate pKa values of the MD relaxed structures of c-Src and c-Src3MΔC. The protein was described as a polarizable dielectric medium with ε = 4 and the solvent was modeled with ε = 80. The boundary between protein and solvent was defined by the solvent accessible surface area of the protein probed by a sphere of 1.4 Å radius. The protein was described using the CHARMM36 parameters48. The linearized Poisson-Boltzmann equation (LPBE) was solved in APBS49, and the Monte Carlo sampling of 2N proton states for the N = 140 titratable residues were performed using Karlsberg 250,51.
Principal component analysis (PCA) was carried out with R using the Bio3D package52. The atomic coordinates of Cα were used in PCA, which was performed on MD trajectories with 1000 snapshots, saved every 1 ns, for each protein model.
Kinase activity measurements
c-Src and mutants thereof were expressed and purified as described Boczek et al.17. To achieve full Y416-phosphorylation, the kinases were incubated with 10 mM ATP and 5 mM MgCl2 overnight and subsequently purified using a PD-10 column (GE Healthcare, München, Germany). For activity measurements of c-Src variants, 320 nM of the respective kinase were incubated at 30 °C for 30 minutes in Src-buffer (40 mM Tris-HCl, 150 mM NaCl, 5% Glycerine, 5 mM DTT, 10 mM MgCl2, 1 mM MnCl2, pH 7.5) supplemented with 40 μM [γ-32P]-ATP with an activity of 0.5 μCi. A tenfold molar excess of acid-denatured enolase (Sigma, St. Louis, USA) was used as a substrate. The reaction was stopped by adding Laemmli buffer and boiling the sample. The samples were separated by SDS-PAGE and transphosphorylation was detected by applying a phosphor image screen onto the gel. The screen was subsequently analyzed using a Typhoon 9200 phosphoimager and the program Image Quant (GE Healthcare, München, Germany). For chaperone-dependent kinase activation, increasing amounts of Hsp90β and Cdc37-S13E were added prior to the transphosphorylation reaction17. For KM-determination, the kinase activity was measured in the presence of increasing amounts of [γ-32P]-ATP.
How to cite this article: Luo, Q. et al. Hsp90 dependence of a kinase is determined by its conformational landscape. Sci. Rep. 7, 43996; doi: 10.1038/srep43996 (2017).
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Belsches-Jablonski, A. P., Demory, M. L., Parsons, J. T. & Parsons, S. J. The Src pathway as a therapeutic strategy. Drug Discov. Today Ther. Strateg. 2, 313–321 (2006).
Frame, M. C. Src in cancer: deregulation and consequences for cell behaviour. Biochim. Biophys. Acta-Reviews on Cancer 1602, 114–130 (2002).
Roskoski, R. Src protein-tyrosine kinase structure, mechanism, and small molecule inhibitors. Pharmacol Res 94, 9–25 (2015).
Takeya, T. & Hanafusa, H. Structure and sequence of the cellular gene homologous to the RSV src gene and the mechanism for generating the transforming virus. Cell 32, 881–890 (1983).
Stehelin, D., Varmus, H. E., Bishop, J. M. & Vogt, P. K. DNA related to the transforming gene (s) of avian sarcoma viruses is present in normal avian DNA. Nature 260, 170–173 (1976).
Iba, H., Takeya, T., Cross, F. R., Hanafusa, T. & Hanafusa, H. Rous sarcoma virus variants that carry the cellular src gene instead of the viral src gene cannot transform chicken embryo fibroblasts. Proc. Natl. Acad. Sci. USA 81, 4424–4428 (1984).
Vogt, P. K. Retroviral oncogenes: a historical primer. Nat. Rev. Cancer 12, 639–648 (2012).
Brugge, J. S. Interaction of the Rous sarcoma virus protein pp60 src with the cellular proteins pp50 and pp90. Curr. Top. Microbiol. Immunol. 123, 1–22 (1986).
Taipale, M. et al. Quantitative analysis of HSP90-client interactions reveals principles of substrate recognition. Cell 150, 987–1001 (2012).
Xu, Y. & Lindquist, S. Heat-shock protein hsp90 governs the activity of pp60v-src kinase. Proc. Natl. Acad. Sci. USA 90, 7074–7078 (1993).
Taipale, M., Jarosz, D. F. & Lindquist, S. HSP90 at the hub of protein homeostasis: emerging mechanistic insights. Nat. Rev. Mol. Cell Biol. 11, 515–528 (2010).
Li, J. & Buchner, J. Structure, function and regulation of the hsp90 machinery. Biomed. J. 36, 106–117 (2013).
Stepanova, L., Leng, X., Parker, S. B. & Harper, J. W. Mammalian p50Cdc37 is a protein kinase-targeting subunit of Hsp90 that binds and stabilizes Cdk4. Genes Dev. 10, 1491–1502 (1996).
Lawless, N., Blacklock, K., Berrigan, E. & Verkhivker, G. Structural Bioinformatics and Protein Docking Analysis of the Molecular Chaperone-Kinase Interactions: Towards Allosteric Inhibition of Protein Kinases by Targeting the Hsp90-Cdc37 Chaperone Machinery. Pharmaceuticals 6, 1407–1428 (2013).
Mandal, A. K. et al. Cdc37 has distinct roles in protein kinase quality control that protect nascent chains from degradation and promote posttranslational maturation. J. Cell Biol. 176, 319–328 (2007).
Xu, Y., Singer, M. A. & Lindquist, S. Maturation of the tyrosine kinase c-src as a kinase and as a substrate depends on the molecular chaperone Hsp90. Proc. Natl. Acad. Sci. USA 96, 109–114 (1999).
Boczek, E. E. et al. Conformational processing of oncogenic v-Src kinase by the molecular chaperone Hsp90. Proc. Natl. Acad. Sci. USA 112, E3189–E3198 (2015).
Breitenlechner, C. B. et al. Crystal structures of active SRC kinase domain complexes. J. Mol. Biol. 353, 222–231 (2005).
Cooper, J. A., Gould, K. L., Cartwright, C. A. & Hunter, T. Tyr527 is phosphorylated in pp60c-src: implications for regulation. Science 231, 1431–1434 (1986).
Thomas, J. E., Soriano, P. & Brugge, J. S. Phosphorylation of c-Src on tyrosine 527 by another protein tyrosine kinase. Science 254, 568–571 (1991).
Reynolds, A. B. et al. Activation of the oncogenic potential of the avian cellular src protein by specific structural alteration of the carboxy terminus. Embo J. 6, 2359–2364 (1987).
Okada, M. & Nakagawa, H. Identification of a novel protein tyrosine kinase that phosphorylates pp60 c-src and regulates its activity in neonatal rat brain. Biochem. Biophys. Res. Commun. 154, 796–802 (1988).
Xu, W., Doshi, A., Lei, M., Eck, M. J. & Harrison, S. C. Crystal structures of c-Src reveal features of its autoinhibitory mechanism. Mol. Cell 3, 629–638 (1999).
Smart, J. E. et al. Characterization of sites for tyrosine phosphorylation in the transforming protein of Rous sarcoma virus (pp60v-src) and its normal cellular homologue (pp60c-src). Proc. Natl. Acad. Sci. USA 78, 6013–6017 (1981).
Cowan-Jacob, S. W. et al. The crystal structure of a c-Src complex in an active conformation suggests possible steps in c-Src activation. Structure 13, 861–871 (2005).
Shukla, D., Meng, Y., Roux, B. & Pande, V. S. Activation pathway of Src kinase reveals intermediate states as targets for drug design. Nat. Commun. 5, 1–11 (2014).
Endicott, J. A., Noble, M. E. & Johnson, L. N. The structural basis for control of eukaryotic protein kinases. Annu. Rev. Biochem. 81, 587–613 (2012).
Brown, M. T. & Cooper, J. A. Regulation, substrates and functions of src. Biochim. Biophys. Acta-Reviews on Cancer 1287, 121–149 (1996).
Roskoski, R. Src protein–tyrosine kinase structure and regulation. Biochem. Biophys. Res. Commun. 324, 1155–1164 (2004).
Meng, Y. & Roux, B. Locking the active conformation of c-Src kinase through the phosphorylation of the activation loop. J. Mol. Biol. 426, 423–435 (2014).
Kato, J. Y. et al. Amino acid substitutions sufficient to convert the nontransforming p60c-src protein to a transforming protein. Mol. Cell Biol. 6, 4155–4160 (1986).
Miyazaki, K. et al. Critical amino acid substitutions in the Src SH3 domain that convert c-Src to be oncogenic. Biochem. Biophys. Res. Commun. 263, 759–764 (1999).
Taylor, S. S. & Kornev, A. P. Protein kinases: evolution of dynamic regulatory proteins. Trends Biochem. Sci. 36, 65–77 (2011).
Kaila, V. R., Wikström, M. & Hummer, G. Electrostatics, hydration, and proton transfer dynamics in the membrane domain of respiratory complex I. Proc. Natl. Acad. Sci. USA 111, 6988–6993 (2014).
Foda, Z. H., Shan, Y., Kim, E. T., Shaw, D. E. & Seeliger, M. A. A dynamically coupled allosteric network underlies binding cooperativity in Src kinase. Nat. Commun. 6, 1–10 (2015).
Buchner, J. Hsp90 & Co.–a holding for folding. Trends Biochem. Sci. 24, 136–141 (1999).
Shirts, M. R., Pitera, J. W., Swope, W. C. & Pande, V. S. Extremely precise free energy calculations of amino acid side chain analogs: Comparison of common molecular mechanics force fields for proteins. J. Chem. Phys. 119, 5740–5761 (2003).
van Gunsteren, W. F. & Geerke, D. P. Computer Simulation of Biomolecular Systems: Where Do We Stand? From Computational Biophysics to System Biology ed. U. H. E. Hansmann, J. H. Meinke, S. Mohanty & O. W. Nadler Proceedings John von Neumann Institute for Computing (NIC), Germany 40, 49–56 (2008).
Yang, S., Banavali, N. K. & Roux, B. Mapping the conformational transition in Src activation by cumulating the information from multiple molecular dynamics trajectories. Proc. Natl. Acad. Sci. USA 106, 3776–3781 (2009).
Grbovic, O. M. et al. V600E B-Raf requires the Hsp90 chaperone for stability and is degraded in response to Hsp90 inhibitors. Proc. Natl. Acad. Sci. USA 103, 57–62 (2006).
Verba, K. A. et al. Atomic structure of Hsp90-Cdc37-Cdk4 reveals that Hsp90 traps and stabilizes an unfolded kinase. Science 352, 1542–1547 (2016).
Webb, B. & Sali, A. Comparative protein structure modeling using Modeller. Curr. Protoc. Bioinformatics 47, 5–6 (2014).
MacKerell, A. D. et al. All-atom empirical potential for molecular modeling and dynamics studies of proteins. J. Phys. Chem. B 102, 3586–3616 (1998).
Phillips, J. C. et al. Scalable molecular dynamics with NAMD. J. Comput. Chem. 26, 1781–1802 (2005).
Humphrey, W., Dalke, A. & Schulten, K. VMD: visual molecular dynamics. J. Mol. Graph. 14, 33–38 (1996).
Ozkirimli, E. & Post, C. B. Src kinase activation: A switched electrostatic network. Protein Sci. 15, 1051–1062 (2006).
Ozkirimli, E., Yadav, S. S., Miller, W. T. & Post, C. B. An electrostatic network and long‐range regulation of Src kinases. Protein Sci. 17, 1871–1880 (2008).
Vanommeslaeghe, K. et al. CHARMM general force field: A force field for drug‐like molecules compatible with the CHARMM all‐atom additive biological force fields. J. Comput. Chem. 31, 671–690 (2010).
Baker, N. A., Sept, D., Joseph, S., Holst, M. J. & McCammon, J. A. Electrostatics of nanosystems: application to microtubules and the ribosome. Proc. Natl. Acad. Sci. USA 98, 10037–10041 (2001).
Kieseritzky, G. & Knapp, E. W. Optimizing pKa computation in proteins with pH adapted conformations. Proteins: Struct., Funct., Bioinf. 71, 1335–1348 (2008).
Rabenstein, B. & Knapp, E. Calculated pH-dependent population and protonation of carbon-monoxy-myoglobin conformers. Biophys. J. 80, 1141–1150 (2001).
Grant, B. J., Rodrigues, A. P., ElSawy, K. M., McCammon, J. A. & Caves, L. S. Bio3d: an R package for the comparative analysis of protein structures. Bioinformatics 22, 2695–2696 (2006).
Frishman, D. & Argos, P. Knowledge‐based protein secondary structure assignment. Proteins: Struct., Funct., Bioinf. 23, 566–579 (1995).
Q.L. acknowledges the China Scholarship Council (CSC) for funding. E.E.B. acknowledges a PhD scholarship from the Studienstiftung des deutschen Volkes. J.B. and V.R.I.K. are supported by grants from the German Research Foundation (DFG) through SFB1035. Computer resources for this project were provided by the Gauss Centre for Supercomputing/Leibniz Supercomputing Centre (grant: pr84pa).
The authors declare no competing financial interests.
About this article
Cite this article
Luo, Q., Boczek, E., Wang, Q. et al. Hsp90 dependence of a kinase is determined by its conformational landscape. Sci Rep 7, 43996 (2017). https://doi.org/10.1038/srep43996